Voice activity detection in non-stationary noise

被引：0

作者：

Li Ye ^{[1
]}

Wang Tong ^{[1
]}

Cui Huijuan ^{[1
]}

Tang Kun ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China

来源：

2006 IMACS: MULTICONFERENCE ON COMPUTATIONAL ENGINEERING IN SYSTEMS APPLICATIONS, VOLS 1 AND 2 | 2006年

关键词：

voice activity detection; speech recognition; vocoder;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Existing voice activity detection algorithms degraded severely in low SNR or in non-stationary noise environment. This paper proposes a new fusion method in such environment. The method is based on the fusion of the SNR for selected sub-bands of the input speech an this fusion is implemented through a specific function called SAF (sum of activation function). The results show that the algorithm could give reliable voice activity detection result in low SNR and even in the presence of non-stationary noise. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4281886

引用

页码：1573 / +

页数：2

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